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Brief Correspondence

The Incremental Role of Magnetic Resonance Imaging for Prostate

Cancer Staging before Radical Prostatectomy

Alessandro Morlacco

a ,

Vidit Sharma

a ,

Boyd R. Viers

a ,

Laureano J. Rangel

b ,

Rachel E. Carlson

b ,

Adam T. Froemming

c ,

R. Jeffrey Karnes

a

[2_TD$DIFF]

, *

a

Department of Urology, Mayo Clinic in Rochester, MN, USA;

b

Department of Health Science Research, Mayo Clinic in Rochester, MN, USA;

c

Department of

Radiology, Mayo Clinic in Rochester, MN, USA

Prediction of adverse pathological features at surgery, in

terms of extracapsular extension (ECE), seminal vesicle

invasion (SVI), and node positivity (N+), is of particular

interest when defining the surgical approach and the role of

magnetic resonance imaging (MRI) in this setting is still a

matter of debate.

The European Association of Urology

[1]

and National

Comprehensive Cancer Network guidelines

[2]

do not

provide definitive indications for MRI use, simply

hypothesizing a role for this technique, especially in

high-risk disease. A recent meta-analysis

[3]

concluded

that MRI has a good specificity for T staging, while

sensitivity is highly variable. As such, there remains a

high-level of clinical uncertainty regarding the potential

role of MRI, particularly when compared with conventional,

clinically-based risk classification models. In the present

study, we compared MRI with existing models (the Cancer

of the Prostate Risk Assessment [CAPRA] score and the

E U R O P E A N U R O L O G Y 7 1 ( 2 0 1 7 ) 7 0 1 – 7 0 4

ava ilable at

www.sciencedirect.com

journal homepage:

www.eu ropeanurology.com

Article info

Article history:

Accepted August 5, 2016

Associate Editor:

Giacomo Novara

Keywords:

MRI

Staging

Risk assessment

Prostate cancer

Prostatectomy

Predictive models

CAPRA score

Partin Table

Abstract

In the present report we aimed to analyze the incremental value of preoperative

magnetic resonance imaging (MRI), in addition to clinical variables and clinically-

derived nomograms, in predicting outcomes radical prostatectomy (RP). All Mayo Clinic

RP patients who underwent preoperative 1.5-Tesla MRI with endo-rectal coil from

2003 to 2013 were identified. Clinical and histopathological variables were used to

calculate Partin estimates and Cancer of the Prostate Risk Assessment (CAPRA) score.

MRI results in terms of extracapsular extension (ECE), seminal vesicle invasion (SVI), and

lymph-node invasion (N+) were recorded. Using RP pathology as gold standard, we

developed multivariate logistic regression models based on clinical variables, Partin

Tables, and CAPRA score, and assessed their predictive accuracy before and after the

addition of MRI results. Five hundred and one patients were included. MRI + clinical

models outperformed clinical-based models alone for all outcomes. Comparing Partin

and Partin + MRI predictive models, the areas under the curve were 0.61 versus 0.73 for

ECE, 0.75 versus 0.82 for SVI, and 0.82 versus 0.85 for N+. Comparing CAPRA and CAPRA +

MRI models, the areas under the curve were 0.69 versus 0.77 for ECE, 0.75 versus 0.83 for

SVI, and 0.82 versus 0.85 for N+. Our data show that MRI can improve clinical-based

models in prediction of nonorgan confined disease, particularly for ECE and SVI.

Patient summary:

Magnetic resonance imaging, together with clinical information, can

be useful in preoperative assessment before radical prostatectomy.

#

2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

* Corresponding author. Mayo Clinic, Gonda Building 7-130, 200 First Street South West Rochester,

MN 55905, USA. Tel. +1-507-266-9968; Fax: +1-507-284-4951.

E-mail address:

Karnes.R@mayo.edu

(R.J. Karnes).

http://dx.doi.org/10.1016/j.eururo.2016.08.015

0302-2838/

#

2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.